13 citations · 24 across the 20 of their papers we have counts for
5 papers · 1 filter
cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold
Zain Shabeeb, Daniel Saeedi, Darin Tsui +2
Cryo-electron microscopy (cryo-EM) enables the atomic-resolution visualization of biomolecules; however, modern direct detectors generate data volumes that far exceed the available…
SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding
Thomas Walton, Darin Tsui, Aryan Musharaf +1
Autoregressive models have transformed protein engineering by enabling the generation of novel protein sequences beyond those found in nature. However, their sequential inference i…
Sparse Autoencoders for Low- Protein Function Prediction and Design
Darin Tsui, Kunal Talreja, Amirali Aghazadeh
Predicting protein function from amino acid sequence remains a central challenge in data-scarce (low-) regimes, limiting machine learning-guided protein design when only small a…
AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data
Daniel Saeedi, Denise Buckner, Jose C. Aponte +1
With upcoming sample return missions across the solar system and the increasing availability of mass spectrometry data, there is an urgent need for methods that analyze such data w…
Efficient Algorithm for Sparse Fourier Transform of Generalized -ary Functions
Darin Tsui, Kunal Talreja, Amirali Aghazadeh
Computing the Fourier transform of a -ary function , which maps -ary sequences to real numbers, is an important problem in mathemati…